... Access Insights Already a Gartner client? By 2030, product marketing leaders will architect how AI reshapes processes, strategy, and talent. AI fluency will be key, automation will shift resourcing, and synthetic data will redefine market insights. Leaders who blend human creativity and machine intelligence ...
Analyst(s): Liz Pellegrini | Jen Kady | Rahim Kaba | Maria Marino
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... Access Insights Already a Gartner client? Despite AI’s potential, its usage in the early stages of the software delivery life cycle remains limited. Software engineering leaders should use Gartner’s AI Use-Case Framework to identify and promote high-impact AI use cases early in the SDLC that deliver meaningful ...
... Gartner client? Chief sales officers struggle to quantify the ROI of AI investments as seller time saved is often not utilized for high-impact, revenue-generating activities. This research guides CSOs in establishing a playbook to redeploy AI-driven time gains into measurable revenue growth. Insights at a ...
... Gartner client? AI data centers’ higher requirements for power, cooling, and overall infrastructure efficiency is increasing the importance of DCIM tools. Using them, heads of I&O enable real-time analytics, energy optimization, and predictive insights, for resilient, sustainable, and AI-capable infrastructure ...
... Access Insights Already a Gartner client? Over the next two to five years, agentic AI will consume many traditional L&D workflows. To remain valuable to the organization, CHROs will need to rebuild their L&D teams as fusion teams that create new value with outcome-based learning products. CHROs should ...
... Access Insights Already a Gartner client? AI-driven analytics increasingly influences decisions and automation, yet technical accuracy alone does not ensure business results. Data and analytics leaders should use AI evaluation to build trusted analytics, align outputs with business outcomes, and ensure ...
... As the adoption of generative and agentic AI increases, ensuring the secure usage of these technologies is essential for safeguarding data privacy and meeting regulatory compliance requirements. CIOs must monitor and learn from emerging use cases of confidential computing, to avoid incidents and manage ...
Analyst(s): Owen Chen | Bart Willemsen | Daniel Sun
... Gartner client? CISOs face mounting pressure to secure AI use while enabling business innovation at pace. This research provides essential components for an adaptive AI security roadmap that accounts for legacy risks, current AI security challenges and the AI-driven future without becoming a business blocker ...
... AI agent development platforms offer a compelling vision of multiagent systems, but fall significantly short of vendor promises. This research provides software engineering leaders with five critical pitfalls of the technology. Gartner Research ...